Profile

Dataset statistics

Number of variables	45
Number of observations	158
Missing cells	596
Missing cells (%)	8.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	55.7 KiB
Average record size in memory	360.8 B

Variable types

Numeric	15
Categorical	30

Dataset

Description	A dataset about students' socio-demographic characteristics
Creator	Matteo Busso, Massimo Stefan
Author	Fausto Giunchiglia, Ivano Bison, Matteo Busso, Ronald Chenu-Abente, Marcelo Rodas Britez, Can Gunel, Giuseppe Veltri, Amalia de Götzen, Peter Kun, Amarsanaa Ganbold, Altangerel Chagnaa, George Gaskell, Miriam Bidoglia, Luca Cernuzzi, Alethia Hume, Jose Luis Zarza, Daniele Miorandi, Carlo Caprini
URL
Copyright	(c) KnowDive 2022

Variable descriptions

degree	programme
c	locfac
u	pract

Alerts

`userid` is highly correlated with `creationTs`	High correlation
`creationTs` is highly correlated with `userid`	High correlation
`c_musgall` is highly correlated with `c_perf_art`	High correlation
`c_perf_art` is highly correlated with `c_musgall`	High correlation
`c_watch_sp` is highly correlated with `c_team_sp`	High correlation
`c_ind_sp` is highly correlated with `c_team_sp`	High correlation
`c_team_sp` is highly correlated with `c_watch_sp` and 1 other fields	High correlation
`c_accom` is highly correlated with `c_locfac`	High correlation
`c_locfac` is highly correlated with `c_accom`	High correlation
`u_active` is highly correlated with `u_read` and 3 other fields	High correlation
`u_read` is highly correlated with `u_active` and 4 other fields	High correlation
`u_essay` is highly correlated with `u_read` and 2 other fields	High correlation
`u_org` is highly correlated with `u_active` and 4 other fields	High correlation
`u_balance` is highly correlated with `u_active` and 2 other fields	High correlation
`u_assess` is highly correlated with `u_active` and 4 other fields	High correlation
`u_theory` is highly correlated with `u_read` and 1 other fields	High correlation
`u_pract` is highly correlated with `u_balance`	High correlation
`userid` is highly correlated with `creationTs`	High correlation
`creationTs` is highly correlated with `userid`	High correlation
`excitement` is highly correlated with `suprapersonal`	High correlation
`suprapersonal` is highly correlated with `excitement`	High correlation
`c_musgall` is highly correlated with `c_perf_art`	High correlation
`c_perf_art` is highly correlated with `c_musgall`	High correlation
`c_watch_sp` is highly correlated with `c_team_sp`	High correlation
`c_ind_sp` is highly correlated with `c_team_sp`	High correlation
`c_team_sp` is highly correlated with `c_watch_sp` and 1 other fields	High correlation
`c_accom` is highly correlated with `c_locfac`	High correlation
`c_locfac` is highly correlated with `c_accom`	High correlation
`u_active` is highly correlated with `u_read` and 3 other fields	High correlation
`u_read` is highly correlated with `u_active` and 4 other fields	High correlation
`u_essay` is highly correlated with `u_read` and 2 other fields	High correlation
`u_org` is highly correlated with `u_active` and 4 other fields	High correlation
`u_balance` is highly correlated with `u_active` and 2 other fields	High correlation
`u_assess` is highly correlated with `u_active` and 4 other fields	High correlation
`u_theory` is highly correlated with `u_read` and 1 other fields	High correlation
`u_pract` is highly correlated with `u_balance`	High correlation
`userid` is highly correlated with `creationTs`	High correlation
`creationTs` is highly correlated with `userid`	High correlation
`c_watch_sp` is highly correlated with `c_team_sp`	High correlation
`c_team_sp` is highly correlated with `c_watch_sp`	High correlation
`c_accom` is highly correlated with `c_locfac`	High correlation
`c_locfac` is highly correlated with `c_accom`	High correlation
`u_read` is highly correlated with `u_essay` and 2 other fields	High correlation
`u_essay` is highly correlated with `u_read` and 2 other fields	High correlation
`u_org` is highly correlated with `u_essay` and 2 other fields	High correlation
`u_balance` is highly correlated with `u_org`	High correlation
`u_assess` is highly correlated with `u_read` and 3 other fields	High correlation
`u_theory` is highly correlated with `u_read` and 1 other fields	High correlation
`department` is highly correlated with `university` and 3 other fields	High correlation
`university` is highly correlated with `department` and 4 other fields	High correlation
`nationality` is highly correlated with `department` and 4 other fields	High correlation
`locale` is highly correlated with `department` and 3 other fields	High correlation
`degree_programme` is highly correlated with `university` and 1 other fields	High correlation
`accommodation` is highly correlated with `nationality`	High correlation
`appId` is highly correlated with `department` and 4 other fields	High correlation
`userid` is highly correlated with `locale` and 6 other fields	High correlation
`gender` is highly correlated with `lastUpdateTs` and 1 other fields	High correlation
`locale` is highly correlated with `userid` and 8 other fields	High correlation
`nationality` is highly correlated with `userid` and 10 other fields	High correlation
`creationTs` is highly correlated with `userid` and 5 other fields	High correlation
`lastUpdateTs` is highly correlated with `userid` and 8 other fields	High correlation
`appId` is highly correlated with `userid` and 7 other fields	High correlation
`dateOfBirth - year` is highly correlated with `locale` and 6 other fields	High correlation
`department` is highly correlated with `userid` and 24 other fields	High correlation
`degree_programme` is highly correlated with `locale` and 7 other fields	High correlation
`university` is highly correlated with `userid` and 7 other fields	High correlation
`accommodation` is highly correlated with `locale` and 2 other fields	High correlation
`excitement` is highly correlated with `department` and 3 other fields	High correlation
`promotion` is highly correlated with `u_org`	High correlation
`existence` is highly correlated with `u_assess` and 1 other fields	High correlation
`suprapersonal` is highly correlated with `department` and 3 other fields	High correlation
`interactive` is highly correlated with `department` and 3 other fields	High correlation
`normative` is highly correlated with `nationality` and 5 other fields	High correlation
`extraversion` is highly correlated with `department` and 2 other fields	High correlation
`agreeableness` is highly correlated with `extraversion` and 2 other fields	High correlation
`conscientiousness` is highly correlated with `nationality` and 3 other fields	High correlation
`neuroticism` is highly correlated with `nationality` and 3 other fields	High correlation
`openness` is highly correlated with `department` and 3 other fields	High correlation
`c_food` is highly correlated with `extraversion` and 2 other fields	High correlation
`c_eating` is highly correlated with `department` and 1 other fields	High correlation
`c_lit` is highly correlated with `dateOfBirth - year` and 5 other fields	High correlation
`c_creatlit` is highly correlated with `creationTs` and 2 other fields	High correlation
`c_perf_mus` is highly correlated with `c_perf_art`	High correlation
`c_plays` is highly correlated with `dateOfBirth - year` and 2 other fields	High correlation
`c_perf_plays` is highly correlated with `department` and 2 other fields	High correlation
`c_musgall` is highly correlated with `c_lit` and 3 other fields	High correlation
`c_perf_art` is highly correlated with `department` and 4 other fields	High correlation
`c_watch_sp` is highly correlated with `normative` and 1 other fields	High correlation
`c_ind_sp` is highly correlated with `c_team_sp`	High correlation
`c_team_sp` is highly correlated with `neuroticism` and 2 other fields	High correlation
`c_accom` is highly correlated with `c_locfac` and 1 other fields	High correlation
`c_locfac` is highly correlated with `c_accom` and 1 other fields	High correlation
`u_active` is highly correlated with `conscientiousness` and 6 other fields	High correlation
`u_read` is highly correlated with `c_lit` and 7 other fields	High correlation
`u_essay` is highly correlated with `c_creatlit` and 5 other fields	High correlation
`u_org` is highly correlated with `promotion` and 9 other fields	High correlation
`u_balance` is highly correlated with `department` and 8 other fields	High correlation
`u_assess` is highly correlated with `nationality` and 11 other fields	High correlation
`u_theory` is highly correlated with `department` and 7 other fields	High correlation
`u_pract` is highly correlated with `existence` and 7 other fields	High correlation
`locale` has 19 (12.0%) missing values	Missing
`nationality` has 52 (32.9%) missing values	Missing
`dateOfBirth - year` has 5 (3.2%) missing values	Missing
`department` has 21 (13.3%) missing values	Missing
`degree_programme` has 17 (10.8%) missing values	Missing
`university` has 16 (10.1%) missing values	Missing
`accommodation` has 20 (12.7%) missing values	Missing
`excitement` has 14 (8.9%) missing values	Missing
`promotion` has 15 (9.5%) missing values	Missing
`existence` has 14 (8.9%) missing values	Missing
`suprapersonal` has 14 (8.9%) missing values	Missing
`interactive` has 15 (9.5%) missing values	Missing
`normative` has 14 (8.9%) missing values	Missing
`extraversion` has 14 (8.9%) missing values	Missing
`agreeableness` has 14 (8.9%) missing values	Missing
`conscientiousness` has 14 (8.9%) missing values	Missing
`neuroticism` has 14 (8.9%) missing values	Missing
`openness` has 14 (8.9%) missing values	Missing
`c_food` has 12 (7.6%) missing values	Missing
`c_eating` has 12 (7.6%) missing values	Missing
`c_lit` has 13 (8.2%) missing values	Missing
`c_creatlit` has 13 (8.2%) missing values	Missing
`c_perf_mus` has 14 (8.9%) missing values	Missing
`c_plays` has 14 (8.9%) missing values	Missing
`c_perf_plays` has 14 (8.9%) missing values	Missing
`c_musgall` has 13 (8.2%) missing values	Missing
`c_perf_art` has 13 (8.2%) missing values	Missing
`c_watch_sp` has 14 (8.9%) missing values	Missing
`c_ind_sp` has 13 (8.2%) missing values	Missing
`c_team_sp` has 14 (8.9%) missing values	Missing
`c_accom` has 13 (8.2%) missing values	Missing
`c_locfac` has 13 (8.2%) missing values	Missing
`u_active` has 13 (8.2%) missing values	Missing
`u_read` has 13 (8.2%) missing values	Missing
`u_essay` has 13 (8.2%) missing values	Missing
`u_org` has 13 (8.2%) missing values	Missing
`u_balance` has 14 (8.9%) missing values	Missing
`u_assess` has 13 (8.2%) missing values	Missing
`u_theory` has 13 (8.2%) missing values	Missing
`u_pract` has 13 (8.2%) missing values	Missing
`userid` has unique values	Unique
`creationTs` has unique values	Unique

Reproduction

Analysis started	2022-07-04 18:35:52.952516
Analysis finished	2022-07-04 18:37:07.401571
Duration	1 minute and 14.45 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

userid
Real number (ℝ _≥0 )


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         UNIQUE

Distinct	158
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	369.1455696

Minimum	5
Maximum	510
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	5
5-th percentile	76.5
Q1	342.5
median	406.5
Q3	457.5
95-th percentile	501.3
Maximum	510
Range	505
Interquartile range (IQR)	115

Descriptive statistics

Standard deviation	128.9933996
Coefficient of variation (CV)	0.3494377564
Kurtosis	1.109699525
Mean	369.1455696
Median Absolute Deviation (MAD)	57.5
Skewness	-1.402227683
Sum	58325
Variance	16639.29715
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
477	1	0.6%
18	1	0.6%
445	1	0.6%
446	1	0.6%
341	1	0.6%
389	1	0.6%
336	1	0.6%
81	1	0.6%
349	1	0.6%
353	1	0.6%
Other values (148)	148	93.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	0.6%
8	1	0.6%
10	1	0.6%
18	1	0.6%
22	1	0.6%
40	1	0.6%
49	1	0.6%
51	1	0.6%
81	1	0.6%
85	1	0.6%

Value	Count	Frequency (%)
510	1	0.6%
509	1	0.6%
508	1	0.6%
507	1	0.6%
506	1	0.6%
505	1	0.6%
504	1	0.6%
503	1	0.6%
501	1	0.6%
500	1	0.6%

gender
Categorical


         
          HIGH CORRELATION

Distinct	4
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

M	68
F	66
not-say	23
non-binary	1

Length

Max length	10
Median length	1
Mean length	1.930379747
Min length	1

Characters and Unicode

Total characters	305
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.6%

Sample

1st row	M
2nd row	M
3rd row	F
4th row	M
5th row	M

Common Values

Value	Count	Frequency (%)
M	68	43.0%
F	66	41.8%
not-say	23	14.6%
non-binary	1	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
m	68	43.0%
f	66	41.8%
not-say	23	14.6%
non-binary	1	0.6%

Most occurring characters

Value	Count	Frequency (%)
M	68	22.3%
F	66	21.6%
n	26	8.5%
o	24	7.9%
-	24	7.9%
a	24	7.9%
y	24	7.9%
t	23	7.5%
s	23	7.5%
b	1	0.3%
Other values (2)	2	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	147	48.2%
Uppercase Letter	134	43.9%
Dash Punctuation	24	7.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	26	17.7%
o	24	16.3%
a	24	16.3%
y	24	16.3%
t	23	15.6%
s	23	15.6%
b	1	0.7%
i	1	0.7%
r	1	0.7%

Uppercase Letter

Value	Count	Frequency (%)
M	68	50.7%
F	66	49.3%

Dash Punctuation

Value	Count	Frequency (%)
-	24	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	281	92.1%
Common	24	7.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	68	24.2%
F	66	23.5%
n	26	9.3%
o	24	8.5%
a	24	8.5%
y	24	8.5%
t	23	8.2%
s	23	8.2%
b	1	0.4%
i	1	0.4%

Common

Value	Count	Frequency (%)
-	24	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	305	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	68	22.3%
F	66	21.6%
n	26	8.5%
o	24	7.9%
-	24	7.9%
a	24	7.9%
y	24	7.9%
t	23	7.5%
s	23	7.5%
b	1	0.3%
Other values (2)	2	0.7%

locale
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	17
Distinct (%)	12.2%
Missing	19
Missing (%)	12.0%
Memory size	1.4 KiB

it_IT	29
mn	24
es_PY	20
en_GB	20
en_US	17
Other values (12)	29

Length

Max length	5
Median length	5
Mean length	4.179856115
Min length	2

Characters and Unicode

Total characters	581
Distinct characters	32
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	6.5%

Sample

1st row	it_IT
2nd row	it_IT
3rd row	it_IT
4th row	en_US
5th row	it_IT

Common Values

Value	Count	Frequency (%)
it_IT	29	18.4%
mn	24	15.2%
es_PY	20	12.7%
en_GB	20	12.7%
en_US	17	10.8%
da	11	7.0%
en_IN	5	3.2%
zh_CN	4	2.5%
es_CL	1	0.6%
fr_BE	1	0.6%
Other values (7)	7	4.4%
(Missing)	19	12.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
it_it	29	20.9%
mn	24	17.3%
es_py	20	14.4%
en_gb	20	14.4%
en_us	17	12.2%
da	11	7.9%
en_in	5	3.6%
zh_cn	4	2.9%
hu	1	0.7%
ko	1	0.7%
Other values (7)	7	5.0%

Most occurring characters

Value	Count	Frequency (%)
_	101	17.4%
n	67	11.5%
e	66	11.4%
I	34	5.9%
t	30	5.2%
T	30	5.2%
i	29	5.0%
m	24	4.1%
s	23	4.0%
P	21	3.6%
Other values (22)	156	26.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	278	47.8%
Uppercase Letter	202	34.8%
Connector Punctuation	101	17.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	67	24.1%
e	66	23.7%
t	30	10.8%
i	29	10.4%
m	24	8.6%
s	23	8.3%
a	11	4.0%
d	11	4.0%
h	5	1.8%
z	4	1.4%
Other values (7)	8	2.9%

Uppercase Letter

Value	Count	Frequency (%)
I	34	16.8%
T	30	14.9%
P	21	10.4%
B	21	10.4%
Y	20	9.9%
G	20	9.9%
S	18	8.9%
U	17	8.4%
N	9	4.5%
C	6	3.0%
Other values (4)	6	3.0%

Connector Punctuation

Value	Count	Frequency (%)
_	101	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	480	82.6%
Common	101	17.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	67	14.0%
e	66	13.8%
I	34	7.1%
t	30	6.2%
T	30	6.2%
i	29	6.0%
m	24	5.0%
s	23	4.8%
P	21	4.4%
B	21	4.4%
Other values (21)	135	28.1%

Common

Value	Count	Frequency (%)
_	101	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	581	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
_	101	17.4%
n	67	11.5%
e	66	11.4%
I	34	5.9%
t	30	5.2%
T	30	5.2%
i	29	5.0%
m	24	4.1%
s	23	4.0%
P	21	3.6%
Other values (22)	156	26.9%

nationality
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	19
Distinct (%)	17.9%
Missing	52
Missing (%)	32.9%
Memory size	1.4 KiB

italy	24
mongolia	22
paraguai	20
denmark	12
england	4
Other values (14)	24

Length

Max length	9
Median length	8
Mean length	6.594339623
Min length	2

Characters and Unicode

Total characters	699
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	7.5%

Sample

1st row	italy
2nd row	italy
3rd row	italy
4th row	italy
5th row	italy

Common Values

Value	Count	Frequency (%)
italy	24	15.2%
mongolia	22	13.9%
paraguai	20	12.7%
denmark	12	7.6%
england	4	2.5%
spain	3	1.9%
india	3	1.9%
us	3	1.9%
cina	3	1.9%
poland	2	1.3%
Other values (9)	10	6.3%
(Missing)	52	32.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
italy	24	22.6%
mongolia	22	20.8%
paraguai	20	18.9%
denmark	12	11.3%
england	4	3.8%
spain	3	2.8%
india	3	2.8%
us	3	2.8%
cina	3	2.8%
france	2	1.9%
Other values (9)	10	9.4%

Most occurring characters

Value	Count	Frequency (%)
a	143	20.5%
i	83	11.9%
n	58	8.3%
l	56	8.0%
o	51	7.3%
g	49	7.0%
r	38	5.4%
m	37	5.3%
t	27	3.9%
u	27	3.9%
Other values (12)	130	18.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	699	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	143	20.5%
i	83	11.9%
n	58	8.3%
l	56	8.0%
o	51	7.3%
g	49	7.0%
r	38	5.4%
m	37	5.3%
t	27	3.9%
u	27	3.9%
Other values (12)	130	18.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	699	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	143	20.5%
i	83	11.9%
n	58	8.3%
l	56	8.0%
o	51	7.3%
g	49	7.0%
r	38	5.4%
m	37	5.3%
t	27	3.9%
u	27	3.9%
Other values (12)	130	18.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	699	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	143	20.5%
i	83	11.9%
n	58	8.3%
l	56	8.0%
o	51	7.3%
g	49	7.0%
r	38	5.4%
m	37	5.3%
t	27	3.9%
u	27	3.9%
Other values (12)	130	18.6%

creationTs
Real number (ℝ _≥0 )


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         UNIQUE

Distinct	158
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1633971485

Minimum	1612534817
Maximum	1638885017
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	1612534817
5-th percentile	1615498166
Q1	1637366011
median	1637581494
Q3	1637842400
95-th percentile	1638727576
Maximum	1638885017
Range	26350200
Interquartile range (IQR)	476389

Descriptive statistics

Standard deviation	8496617.27
Coefficient of variation (CV)	0.005199978917
Kurtosis	1.253521908
Mean	1633971485
Median Absolute Deviation (MAD)	238259.5
Skewness	-1.782986109
Sum	2.581674946 × 10 ¹¹
Variance	7.219250504 × 10 ¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1638288097	1	0.6%
1612984267	1	0.6%
1637676774	1	0.6%
1637679809	1	0.6%
1637347252	1	0.6%
1637575303	1	0.6%
1637327989	1	0.6%
1615504933	1	0.6%
1637455687	1	0.6%
1637530064	1	0.6%
Other values (148)	148	93.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1612534817	1	0.6%
1612748009	1	0.6%
1612773674	1	0.6%
1612984267	1	0.6%
1613558866	1	0.6%
1614880553	1	0.6%
1615459320	1	0.6%
1615459817	1	0.6%
1615504933	1	0.6%
1615528396	1	0.6%

Value	Count	Frequency (%)
1638885017	1	0.6%
1638850986	1	0.6%
1638821925	1	0.6%
1638785137	1	0.6%
1638777952	1	0.6%
1638748477	1	0.6%
1638739796	1	0.6%
1638735217	1	0.6%
1638726227	1	0.6%
1638641279	1	0.6%

lastUpdateTs
Real number (ℝ _≥0 )


         
          HIGH CORRELATION

Distinct	151
Distinct (%)	95.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1638260170

Minimum	1637154585
Maximum	1639040411
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	1637154585
5-th percentile	1637581094
Q1	1638216759
median	1638240941
Q3	1638280296
95-th percentile	1638791468
Maximum	1639040411
Range	1885826
Interquartile range (IQR)	63537.5

Descriptive statistics

Standard deviation	303722.4959
Coefficient of variation (CV)	0.0001853933224
Kurtosis	3.372393798
Mean	1638260170
Median Absolute Deviation (MAD)	24246.5
Skewness	-0.8055627841
Sum	2.588451069 × 10 ¹¹
Variance	9.224735449 × 10 ¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1638257443	3	1.9%
1638216960	2	1.3%
1638216517	2	1.3%
1638257527	2	1.3%
1638216947	2	1.3%
1638257549	2	1.3%
1638216705	1	0.6%
1638216818	1	0.6%
1638217039	1	0.6%
1638240090	1	0.6%
Other values (141)	141	89.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1637154585	1	0.6%
1637248086	1	0.6%
1637324436	1	0.6%
1637339993	1	0.6%
1637403080	1	0.6%
1637421340	1	0.6%
1637498949	1	0.6%
1637521649	1	0.6%
1637591584	1	0.6%
1637605001	1	0.6%

Value	Count	Frequency (%)
1639040411	1	0.6%
1639004696	1	0.6%
1638885730	1	0.6%
1638885094	1	0.6%
1638878254	1	0.6%
1638851844	1	0.6%
1638831896	1	0.6%
1638822539	1	0.6%
1638785985	1	0.6%
1638785549	1	0.6%

appId
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION

Distinct	5
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

sVq48ryxGe	46
GuS9StLxrv	33
2O4ppqNC6f	31
LUOmwNXfZq	26
HnH5iaO6VI	22

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1580
Distinct characters	34
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	GuS9StLxrv
2nd row	GuS9StLxrv
3rd row	GuS9StLxrv
4th row	GuS9StLxrv
5th row	GuS9StLxrv

Common Values

Value	Count	Frequency (%)
sVq48ryxGe	46	29.1%
GuS9StLxrv	33	20.9%
2O4ppqNC6f	31	19.6%
LUOmwNXfZq	26	16.5%
HnH5iaO6VI	22	13.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
svq48ryxge	46	29.1%
gus9stlxrv	33	20.9%
2o4ppqnc6f	31	19.6%
luomwnxfzq	26	16.5%
hnh5iao6vi	22	13.9%

Most occurring characters

Value	Count	Frequency (%)
q	103	6.5%
O	79	5.0%
r	79	5.0%
x	79	5.0%
G	79	5.0%
4	77	4.9%
V	68	4.3%
S	66	4.2%
p	62	3.9%
L	59	3.7%
Other values (24)	829	52.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	735	46.5%
Uppercase Letter	583	36.9%
Decimal Number	262	16.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
q	103	14.0%
r	79	10.7%
x	79	10.7%
p	62	8.4%
f	57	7.8%
s	46	6.3%
e	46	6.3%
y	46	6.3%
t	33	4.5%
u	33	4.5%
Other values (6)	151	20.5%

Uppercase Letter

Value	Count	Frequency (%)
O	79	13.6%
G	79	13.6%
V	68	11.7%
S	66	11.3%
L	59	10.1%
N	57	9.8%
H	44	7.5%
C	31	5.3%
X	26	4.5%
Z	26	4.5%
Other values (2)	48	8.2%

Decimal Number

Value	Count	Frequency (%)
4	77	29.4%
6	53	20.2%
8	46	17.6%
9	33	12.6%
2	31	11.8%
5	22	8.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1318	83.4%
Common	262	16.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
q	103	7.8%
O	79	6.0%
r	79	6.0%
x	79	6.0%
G	79	6.0%
V	68	5.2%
S	66	5.0%
p	62	4.7%
L	59	4.5%
f	57	4.3%
Other values (18)	587	44.5%

Common

Value	Count	Frequency (%)
4	77	29.4%
6	53	20.2%
8	46	17.6%
9	33	12.6%
2	31	11.8%
5	22	8.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1580	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
q	103	6.5%
O	79	5.0%
r	79	5.0%
x	79	5.0%
G	79	5.0%
4	77	4.9%
V	68	4.3%
S	66	4.2%
p	62	3.9%
L	59	3.7%
Other values (24)	829	52.5%

dateOfBirth - year
Real number (ℝ _≥0 )


         
          HIGH CORRELATION


         MISSING

Distinct	25
Distinct (%)	16.3%
Missing	5
Missing (%)	3.2%
Infinite	0
Infinite (%)	0.0%
Mean	1997.117647

Minimum	1971
Maximum	2009
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	1971
5-th percentile	1984.6
Q1	1996
median	1999
Q3	2001
95-th percentile	2002
Maximum	2009
Range	38
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	5.711186134
Coefficient of variation (CV)	0.00285971442
Kurtosis	4.942668753
Mean	1997.117647
Median Absolute Deviation (MAD)	2
Skewness	-1.977369454
Sum	305559
Variance	32.61764706
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
1999	27	17.1%
2002	21	13.3%
1998	19	12.0%
2000	18	11.4%
2001	13	8.2%
1994	8	5.1%
1996	6	3.8%
1997	6	3.8%
1993	5	3.2%
1991	4	2.5%
Other values (15)	26	16.5%
(Missing)	5	3.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1971	1	0.6%
1974	1	0.6%
1978	1	0.6%
1979	1	0.6%
1983	1	0.6%
1984	3	1.9%
1985	1	0.6%
1986	2	1.3%
1988	1	0.6%
1989	2	1.3%

Value	Count	Frequency (%)
2009	1	0.6%
2003	4	2.5%
2002	21	13.3%
2001	13	8.2%
2000	18	11.4%
1999	27	17.1%
1998	19	12.0%
1997	6	3.8%
1996	6	3.8%
1995	3	1.9%

department
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	46
Distinct (%)	33.6%
Missing	21
Missing (%)	13.3%
Memory size	1.4 KiB

Faculty of science and technology	20
Information Engineering and Computer Science	19
School of Applied Sciences and Engineering	11
Business School	6
Medialogy (MED), BSc	5
Other values (41)	76

Length

Max length	75
Median length	50
Mean length	32.96350365
Min length	5

Characters and Unicode

Total characters	4516
Distinct characters	48
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	21 ?
Unique (%)	15.3%

Sample

1st row	Information Engineering and Computer Science
2nd row	Information Engineering and Computer Science
3rd row	Mathematics
4th row	Information Engineering and Computer Science
5th row	Industrial Engineering

Common Values

Value	Count	Frequency (%)
Faculty of science and technology	20	12.7%
Information Engineering and Computer Science	19	12.0%
School of Applied Sciences and Engineering	11	7.0%
Business School	6	3.8%
Medialogy (MED), BSc	5	3.2%
Department of Health Policy	5	3.2%
Law School	4	2.5%
European Institute	4	2.5%
Service Systems Design (SSD), MSc	3	1.9%
Innovative Communication Technologies And Entrepreneurship (ICTE), MSc	3	1.9%
Other values (36)	57	36.1%
(Missing)	21	13.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	66	10.9%
of	62	10.2%
science	45	7.4%
engineering	33	5.4%
school	29	4.8%
faculty	23	3.8%
information	22	3.6%
department	20	3.3%
msc	20	3.3%
technology	20	3.3%
Other values (84)	266	43.9%

Most occurring characters

Value	Count	Frequency (%)
	469	10.4%
n	427	9.5%
e	417	9.2%
o	334	7.4%
i	288	6.4%
c	279	6.2%
t	223	4.9%
a	223	4.9%
l	161	3.6%
r	149	3.3%
Other values (38)	1546	34.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3395	75.2%
Uppercase Letter	536	11.9%
Space Separator	469	10.4%
Other Punctuation	37	0.8%
Open Punctuation	33	0.7%
Close Punctuation	33	0.7%
Dash Punctuation	13	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	427	12.6%
e	417	12.3%
o	334	9.8%
i	288	8.5%
c	279	8.2%
t	223	6.6%
a	223	6.6%
l	161	4.7%
r	149	4.4%
s	125	3.7%
Other values (12)	769	22.7%

Uppercase Letter

Value	Count	Frequency (%)
S	147	27.4%
E	54	10.1%
I	49	9.1%
D	44	8.2%
M	43	8.0%
C	36	6.7%
A	28	5.2%
B	25	4.7%
F	23	4.3%
T	18	3.4%
Other values (10)	69	12.9%

Other Punctuation

Value	Count	Frequency (%)
,	36	97.3%
/	1	2.7%

Space Separator

Value	Count	Frequency (%)
	469	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	33	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	33	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3931	87.0%
Common	585	13.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	427	10.9%
e	417	10.6%
o	334	8.5%
i	288	7.3%
c	279	7.1%
t	223	5.7%
a	223	5.7%
l	161	4.1%
r	149	3.8%
S	147	3.7%
Other values (32)	1283	32.6%

Common

Value	Count	Frequency (%)
	469	80.2%
,	36	6.2%
(	33	5.6%
)	33	5.6%
-	13	2.2%
/	1	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4516	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	469	10.4%
n	427	9.5%
e	417	9.2%
o	334	7.4%
i	288	6.4%
c	279	6.2%
t	223	4.9%
a	223	4.9%
l	161	3.6%
r	149	3.3%
Other values (38)	1546	34.2%

degree_programme
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	13
Distinct (%)	9.2%
Missing	17
Missing (%)	10.8%
Memory size	1.4 KiB

MSc/MA	28
Undergraduate year 1	28
Undergraduate year 2	18
Undergraduate year 3	14
MSc/MA year 1	14
Other values (8)	39

Length

Max length	24
Median length	20
Mean length	15.0070922
Min length	3

Characters and Unicode

Total characters	2116
Distinct characters	27
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.4%

Sample

1st row	MSc/MA
2nd row	MSc/MA
3rd row	Undergraduate year 3
4th row	Undergraduate year 1
5th row	Undergraduate year 3

Common Values

Value	Count	Frequency (%)
MSc/MA	28	17.7%
Undergraduate year 1	28	17.7%
Undergraduate year 2	18	11.4%
Undergraduate year 3	14	8.9%
MSc/MA year 1	14	8.9%
MSc/MA year 2	14	8.9%
Undergraduate year 4	12	7.6%
BSc/BA year 1	5	3.2%
Other	2	1.3%
PhD	2	1.3%
Other values (3)	4	2.5%
(Missing)	17	10.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
year	109	30.2%
undergraduate	72	19.9%
msc/ma	56	15.5%
1	47	13.0%
2	34	9.4%
3	15	4.2%
4	13	3.6%
bsc/ba	9	2.5%
other	2	0.6%
phd	2	0.6%
Other values (2)	2	0.6%

Most occurring characters

Value	Count	Frequency (%)
e	256	12.1%
r	255	12.1%
a	254	12.0%
	220	10.4%
d	146	6.9%
M	112	5.3%
y	110	5.2%
t	74	3.5%
n	74	3.5%
U	72	3.4%
Other values (17)	543	25.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1384	65.4%
Uppercase Letter	338	16.0%
Space Separator	220	10.4%
Decimal Number	109	5.2%
Other Punctuation	65	3.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	256	18.5%
r	255	18.4%
a	254	18.4%
d	146	10.5%
y	110	7.9%
t	74	5.3%
n	74	5.3%
g	72	5.2%
u	72	5.2%
c	65	4.7%
Other values (3)	6	0.4%

Uppercase Letter

Value	Count	Frequency (%)
M	112	33.1%
U	72	21.3%
A	65	19.2%
S	65	19.2%
B	18	5.3%
O	2	0.6%
P	2	0.6%
D	2	0.6%

Decimal Number

Value	Count	Frequency (%)
1	47	43.1%
2	34	31.2%
3	15	13.8%
4	13	11.9%

Space Separator

Value	Count	Frequency (%)
	220	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	65	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1722	81.4%
Common	394	18.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	256	14.9%
r	255	14.8%
a	254	14.8%
d	146	8.5%
M	112	6.5%
y	110	6.4%
t	74	4.3%
n	74	4.3%
U	72	4.2%
g	72	4.2%
Other values (11)	297	17.2%

Common

Value	Count	Frequency (%)
	220	55.8%
/	65	16.5%
1	47	11.9%
2	34	8.6%
3	15	3.8%
4	13	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2116	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	256	12.1%
r	255	12.1%
a	254	12.0%
	220	10.4%
d	146	6.9%
M	112	5.3%
y	110	5.2%
t	74	3.5%
n	74	3.5%
U	72	3.4%
Other values (17)	543	25.7%

university
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.5%
Missing	16
Missing (%)	10.1%
Memory size	1.4 KiB

AAU	39
UNITN	33
NUM	28
UC	22
LSE	20

Length

Max length	5
Median length	3
Mean length	3.309859155
Min length	2

Characters and Unicode

Total characters	470
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	UNITN
2nd row	UNITN
3rd row	UNITN
4th row	UNITN
5th row	UNITN

Common Values

Value	Count	Frequency (%)
AAU	39	24.7%
UNITN	33	20.9%
NUM	28	17.7%
UC	22	13.9%
LSE	20	12.7%
(Missing)	16	10.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
aau	39	27.5%
unitn	33	23.2%
num	28	19.7%
uc	22	15.5%
lse	20	14.1%

Most occurring characters

Value	Count	Frequency (%)
U	122	26.0%
N	94	20.0%
A	78	16.6%
I	33	7.0%
T	33	7.0%
M	28	6.0%
C	22	4.7%
L	20	4.3%
S	20	4.3%
E	20	4.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	470	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	122	26.0%
N	94	20.0%
A	78	16.6%
I	33	7.0%
T	33	7.0%
M	28	6.0%
C	22	4.7%
L	20	4.3%
S	20	4.3%
E	20	4.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	470	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	122	26.0%
N	94	20.0%
A	78	16.6%
I	33	7.0%
T	33	7.0%
M	28	6.0%
C	22	4.7%
L	20	4.3%
S	20	4.3%
E	20	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	470	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	122	26.0%
N	94	20.0%
A	78	16.6%
I	33	7.0%
T	33	7.0%
M	28	6.0%
C	22	4.7%
L	20	4.3%
S	20	4.3%
E	20	4.3%

accommodation
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	4
Distinct (%)	2.9%
Missing	20
Missing (%)	12.7%
Memory size	1.4 KiB

With family and/or relatives	59
Private shared accommodation	41
Hall of residence / dormitory	23
Other	15

Length

Max length	29
Median length	28
Mean length	25.66666667
Min length	5

Characters and Unicode

Total characters	3542
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	With family and/or relatives
2nd row	Private shared accommodation
3rd row	With family and/or relatives
4th row	Other
5th row	Private shared accommodation

Common Values

Value	Count	Frequency (%)
With family and/or relatives	59	37.3%
Private shared accommodation	41	25.9%
Hall of residence / dormitory	23	14.6%
Other	15	9.5%
(Missing)	20	12.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
with	59	12.1%
family	59	12.1%
and/or	59	12.1%
relatives	59	12.1%
private	41	8.4%
shared	41	8.4%
accommodation	41	8.4%
hall	23	4.7%
of	23	4.7%
residence	23	4.7%
Other values (3)	61	12.5%

Most occurring characters

Value	Count	Frequency (%)
a	364	10.3%
	351	9.9%
i	305	8.6%
e	284	8.0%
r	284	8.0%
o	251	7.1%
t	238	6.7%
d	187	5.3%
m	164	4.6%
l	164	4.6%
Other values (12)	950	26.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2971	83.9%
Space Separator	351	9.9%
Uppercase Letter	138	3.9%
Other Punctuation	82	2.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	364	12.3%
i	305	10.3%
e	284	9.6%
r	284	9.6%
o	251	8.4%
t	238	8.0%
d	187	6.3%
m	164	5.5%
l	164	5.5%
s	123	4.1%
Other values (6)	607	20.4%

Uppercase Letter

Value	Count	Frequency (%)
W	59	42.8%
P	41	29.7%
H	23	16.7%
O	15	10.9%

Space Separator

Value	Count	Frequency (%)
	351	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	82	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3109	87.8%
Common	433	12.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	364	11.7%
i	305	9.8%
e	284	9.1%
r	284	9.1%
o	251	8.1%
t	238	7.7%
d	187	6.0%
m	164	5.3%
l	164	5.3%
s	123	4.0%
Other values (10)	745	24.0%

Common

Value	Count	Frequency (%)
	351	81.1%
/	82	18.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3542	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	364	10.3%
	351	9.9%
i	305	8.6%
e	284	8.0%
r	284	8.0%
o	251	7.1%
t	238	6.7%
d	187	5.3%
m	164	4.6%
l	164	4.6%
Other values (12)	950	26.8%

excitement
Real number (ℝ _≥0 )


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	11
Distinct (%)	7.6%
Missing	14
Missing (%)	8.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.7101736111

Minimum	0.2
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0.2
5-th percentile	0.4769
Q1	0.6
median	0.733
Q3	0.8
95-th percentile	0.933
Maximum	1
Range	0.8
Interquartile range (IQR)	0.2

Descriptive statistics

Standard deviation	0.1397871174
Coefficient of variation (CV)	0.1968351332
Kurtosis	0.7381586259
Mean	0.7101736111
Median Absolute Deviation (MAD)	0.067
Skewness	-0.3611535043
Sum	102.265
Variance	0.01954043818
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0.6	28	17.7%
0.8	27	17.1%
0.733	27	17.1%
0.667	20	12.7%
0.867	14	8.9%
0.533	9	5.7%
0.933	6	3.8%
1	5	3.2%
0.467	5	3.2%
0.333	2	1.3%
(Missing)	14	8.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.2	1	0.6%
0.333	2	1.3%
0.467	5	3.2%
0.533	9	5.7%
0.6	28	17.7%
0.667	20	12.7%
0.733	27	17.1%
0.8	27	17.1%
0.867	14	8.9%
0.933	6	3.8%

Value	Count	Frequency (%)
1	5	3.2%
0.933	6	3.8%
0.867	14	8.9%
0.8	27	17.1%
0.733	27	17.1%
0.667	20	12.7%
0.6	28	17.7%
0.533	9	5.7%
0.467	5	3.2%
0.333	2	1.3%

promotion
Real number (ℝ _≥0 )


         
          HIGH CORRELATION


         MISSING

Distinct	12
Distinct (%)	8.4%
Missing	15
Missing (%)	9.5%
Infinite	0
Infinite (%)	0.0%
Mean	0.669951049

Minimum	0.267
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0.267
5-th percentile	0.4067
Q1	0.533
median	0.667
Q3	0.8
95-th percentile	0.933
Maximum	1
Range	0.733
Interquartile range (IQR)	0.267

Descriptive statistics

Standard deviation	0.1608550362
Coefficient of variation (CV)	0.2400996855
Kurtosis	-0.4931861426
Mean	0.669951049
Median Absolute Deviation (MAD)	0.133
Skewness	0.06666627792
Sum	95.803
Variance	0.02587434266
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0.6	27	17.1%
0.667	22	13.9%
0.533	16	10.1%
0.733	16	10.1%
0.867	15	9.5%
0.8	14	8.9%
0.467	13	8.2%
0.933	7	4.4%
1	5	3.2%
0.4	4	2.5%
Other values (2)	4	2.5%
(Missing)	15	9.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.267	1	0.6%
0.333	3	1.9%
0.4	4	2.5%
0.467	13	8.2%
0.533	16	10.1%
0.6	27	17.1%
0.667	22	13.9%
0.733	16	10.1%
0.8	14	8.9%
0.867	15	9.5%

Value	Count	Frequency (%)
1	5	3.2%
0.933	7	4.4%
0.867	15	9.5%
0.8	14	8.9%
0.733	16	10.1%
0.667	22	13.9%
0.6	27	17.1%
0.533	16	10.1%
0.467	13	8.2%
0.4	4	2.5%

existence
Real number (ℝ _≥0 )


         
          HIGH CORRELATION


         MISSING

Distinct	11
Distinct (%)	7.6%
Missing	14
Missing (%)	8.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.8215277778

Minimum	0.4
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0.4
5-th percentile	0.6
Q1	0.733
median	0.867
Q3	0.933
95-th percentile	1
Maximum	1
Range	0.6
Interquartile range (IQR)	0.2

Descriptive statistics

Standard deviation	0.1349743278
Coefficient of variation (CV)	0.1642967303
Kurtosis	0.3766541517
Mean	0.8215277778
Median Absolute Deviation (MAD)	0.067
Skewness	-0.787219052
Sum	118.3
Variance	0.01821806915
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0.867	31	19.6%
0.8	29	18.4%
0.933	22	13.9%
1	21	13.3%
0.733	15	9.5%
0.6	11	7.0%
0.667	8	5.1%
0.533	3	1.9%
0.4	2	1.3%
0.9	1	0.6%
(Missing)	14	8.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.4	2	1.3%
0.467	1	0.6%
0.533	3	1.9%
0.6	11	7.0%
0.667	8	5.1%
0.733	15	9.5%
0.8	29	18.4%
0.867	31	19.6%
0.9	1	0.6%
0.933	22	13.9%

Value	Count	Frequency (%)
1	21	13.3%
0.933	22	13.9%
0.9	1	0.6%
0.867	31	19.6%
0.8	29	18.4%
0.733	15	9.5%
0.667	8	5.1%
0.6	11	7.0%
0.533	3	1.9%
0.467	1	0.6%

suprapersonal
Real number (ℝ _≥0 )


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	9
Distinct (%)	6.2%
Missing	14
Missing (%)	8.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.7921319444

Minimum	0.2
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0.2
5-th percentile	0.6
Q1	0.733
median	0.8
Q3	0.867
95-th percentile	1
Maximum	1
Range	0.8
Interquartile range (IQR)	0.134

Descriptive statistics

Standard deviation	0.1284497805
Coefficient of variation (CV)	0.1621570515
Kurtosis	1.884314792
Mean	0.7921319444
Median Absolute Deviation (MAD)	0.067
Skewness	-0.6873011369
Sum	114.067
Variance	0.01649934611
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0.8	29	18.4%
0.867	27	17.1%
0.733	24	15.2%
0.667	18	11.4%
0.933	18	11.4%
0.6	13	8.2%
1	12	7.6%
0.533	2	1.3%
0.2	1	0.6%
(Missing)	14	8.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.2	1	0.6%
0.533	2	1.3%
0.6	13	8.2%
0.667	18	11.4%
0.733	24	15.2%
0.8	29	18.4%
0.867	27	17.1%
0.933	18	11.4%
1	12	7.6%

Value	Count	Frequency (%)
1	12	7.6%
0.933	18	11.4%
0.867	27	17.1%
0.8	29	18.4%
0.733	24	15.2%
0.667	18	11.4%
0.6	13	8.2%
0.533	2	1.3%
0.2	1	0.6%

interactive
Real number (ℝ _≥0 )


         
          HIGH CORRELATION


         MISSING

Distinct	10
Distinct (%)	7.0%
Missing	15
Missing (%)	9.5%
Infinite	0
Infinite (%)	0.0%
Mean	0.7985734266

Minimum	0.2
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0.2
5-th percentile	0.533
Q1	0.733
median	0.8
Q3	0.933
95-th percentile	1
Maximum	1
Range	0.8
Interquartile range (IQR)	0.2

Descriptive statistics

Standard deviation	0.1425145157
Coefficient of variation (CV)	0.1784613799
Kurtosis	1.557535184
Mean	0.7985734266
Median Absolute Deviation (MAD)	0.133
Skewness	-0.9081898254
Sum	114.196
Variance	0.02031038718
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0.8	26	16.5%
0.867	25	15.8%
0.933	25	15.8%
0.733	20	12.7%
0.667	16	10.1%
1	14	8.9%
0.6	8	5.1%
0.533	7	4.4%
0.333	1	0.6%
0.2	1	0.6%
(Missing)	15	9.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.2	1	0.6%
0.333	1	0.6%
0.533	7	4.4%
0.6	8	5.1%
0.667	16	10.1%
0.733	20	12.7%
0.8	26	16.5%
0.867	25	15.8%
0.933	25	15.8%
1	14	8.9%

Value	Count	Frequency (%)
1	14	8.9%
0.933	25	15.8%
0.867	25	15.8%
0.8	26	16.5%
0.733	20	12.7%
0.667	16	10.1%
0.6	8	5.1%
0.533	7	4.4%
0.333	1	0.6%
0.2	1	0.6%

normative
Real number (ℝ _≥0 )


         
          HIGH CORRELATION


         MISSING

Distinct	14
Distinct (%)	9.7%
Missing	14
Missing (%)	8.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.5451388889

Minimum	0.2
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0.2
5-th percentile	0.267
Q1	0.4
median	0.533
Q3	0.667
95-th percentile	0.867
Maximum	1
Range	0.8
Interquartile range (IQR)	0.267

Descriptive statistics

Standard deviation	0.1862688714
Coefficient of variation (CV)	0.3416906686
Kurtosis	-0.6473984377
Mean	0.5451388889
Median Absolute Deviation (MAD)	0.134
Skewness	0.2330785683
Sum	78.5
Variance	0.03469609246
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0.6	20	12.7%
0.467	18	11.4%
0.533	16	10.1%
0.333	15	9.5%
0.4	14	8.9%
0.733	14	8.9%
0.267	13	8.2%
0.667	13	8.2%
0.8	9	5.7%
0.867	4	2.5%
Other values (4)	8	5.1%
(Missing)	14	8.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.2	2	1.3%
0.267	13	8.2%
0.333	15	9.5%
0.4	14	8.9%
0.467	18	11.4%
0.533	16	10.1%
0.6	20	12.7%
0.667	13	8.2%
0.7	1	0.6%
0.733	14	8.9%

Value	Count	Frequency (%)
1	2	1.3%
0.933	3	1.9%
0.867	4	2.5%
0.8	9	5.7%
0.733	14	8.9%
0.7	1	0.6%
0.667	13	8.2%
0.6	20	12.7%
0.533	16	10.1%
0.467	18	11.4%

extraversion
Real number (ℝ _≥0 )


         
          HIGH CORRELATION


         MISSING

Distinct	17
Distinct (%)	11.8%
Missing	14
Missing (%)	8.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.5493055556

Minimum	0.2
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0.2
5-th percentile	0.2575
Q1	0.4
median	0.55
Q3	0.7
95-th percentile	0.9
Maximum	1
Range	0.8
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	0.1939636358
Coefficient of variation (CV)	0.3531069981
Kurtosis	-0.5401187554
Mean	0.5493055556
Median Absolute Deviation (MAD)	0.15
Skewness	0.3451915768
Sum	79.1
Variance	0.037621892
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
0.55	16	10.1%
0.45	16	10.1%
0.5	16	10.1%
0.35	12	7.6%
0.6	12	7.6%
0.3	10	6.3%
0.7	10	6.3%
0.4	9	5.7%
0.8	8	5.1%
0.75	7	4.4%
Other values (7)	28	17.7%
(Missing)	14	8.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.2	5	3.2%
0.25	3	1.9%
0.3	10	6.3%
0.35	12	7.6%
0.4	9	5.7%
0.45	16	10.1%
0.5	16	10.1%
0.55	16	10.1%
0.6	12	7.6%
0.65	6	3.8%

Value	Count	Frequency (%)
1	2	1.3%
0.95	4	2.5%
0.9	4	2.5%
0.85	4	2.5%
0.8	8	5.1%
0.75	7	4.4%
0.7	10	6.3%
0.65	6	3.8%
0.6	12	7.6%
0.55	16	10.1%

agreeableness
Real number (ℝ _≥0 )


         
          HIGH CORRELATION


         MISSING

Distinct	15
Distinct (%)	10.4%
Missing	14
Missing (%)	8.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.7745347222

Minimum	0.35
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0.35
5-th percentile	0.55
Q1	0.65
median	0.8
Q3	0.9
95-th percentile	1
Maximum	1
Range	0.65
Interquartile range (IQR)	0.25

Descriptive statistics

Standard deviation	0.1441422138
Coefficient of variation (CV)	0.186101681
Kurtosis	-0.1443215138
Mean	0.7745347222
Median Absolute Deviation (MAD)	0.1
Skewness	-0.4183913804
Sum	111.533
Variance	0.02077697781
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
0.8	25	15.8%
0.75	18	11.4%
0.65	17	10.8%
0.95	15	9.5%
0.9	15	9.5%
0.7	11	7.0%
1	11	7.0%
0.85	10	6.3%
0.6	10	6.3%
0.55	5	3.2%
Other values (5)	7	4.4%
(Missing)	14	8.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.35	1	0.6%
0.4	2	1.3%
0.45	2	1.3%
0.5	1	0.6%
0.55	5	3.2%
0.6	10	6.3%
0.65	17	10.8%
0.7	11	7.0%
0.733	1	0.6%
0.75	18	11.4%

Value	Count	Frequency (%)
1	11	7.0%
0.95	15	9.5%
0.9	15	9.5%
0.85	10	6.3%
0.8	25	15.8%
0.75	18	11.4%
0.733	1	0.6%
0.7	11	7.0%
0.65	17	10.8%
0.6	10	6.3%

conscientiousness
Real number (ℝ _≥0 )


         
          HIGH CORRELATION


         MISSING

Distinct	16
Distinct (%)	11.1%
Missing	14
Missing (%)	8.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.6960625

Minimum	0.2
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0.2
5-th percentile	0.45
Q1	0.6
median	0.7
Q3	0.8
95-th percentile	0.95
Maximum	1
Range	0.8
Interquartile range (IQR)	0.2

Descriptive statistics

Standard deviation	0.1516956937
Coefficient of variation (CV)	0.2179340126
Kurtosis	-0.1187464982
Mean	0.6960625
Median Absolute Deviation (MAD)	0.1
Skewness	-0.2387585511
Sum	100.233
Variance	0.02301158348
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0.8	22	13.9%
0.65	18	11.4%
0.6	17	10.8%
0.7	17	10.8%
0.85	14	8.9%
0.55	12	7.6%
0.75	9	5.7%
0.95	9	5.7%
0.45	8	5.1%
0.5	7	4.4%
Other values (6)	11	7.0%
(Missing)	14	8.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.2	1	0.6%
0.3	1	0.6%
0.4	1	0.6%
0.45	8	5.1%
0.5	7	4.4%
0.533	1	0.6%
0.55	12	7.6%
0.6	17	10.8%
0.65	18	11.4%
0.7	17	10.8%

Value	Count	Frequency (%)
1	2	1.3%
0.95	9	5.7%
0.9	5	3.2%
0.85	14	8.9%
0.8	22	13.9%
0.75	9	5.7%
0.7	17	10.8%
0.65	18	11.4%
0.6	17	10.8%
0.55	12	7.6%

neuroticism
Real number (ℝ _≥0 )


         
          HIGH CORRELATION


         MISSING

Distinct	16
Distinct (%)	11.1%
Missing	14
Missing (%)	8.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.6083333333

Minimum	0.2
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0.2
5-th percentile	0.35
Q1	0.5
median	0.6
Q3	0.75
95-th percentile	0.8925
Maximum	1
Range	0.8
Interquartile range (IQR)	0.25

Descriptive statistics

Standard deviation	0.1663049688
Coefficient of variation (CV)	0.273378031
Kurtosis	-0.2409018667
Mean	0.6083333333
Median Absolute Deviation (MAD)	0.1
Skewness	0.06250633472
Sum	87.6
Variance	0.02765734266
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0.6	23	14.6%
0.55	16	10.1%
0.75	15	9.5%
0.5	14	8.9%
0.7	12	7.6%
0.65	12	7.6%
0.4	10	6.3%
0.45	9	5.7%
0.85	8	5.1%
0.8	6	3.8%
Other values (6)	19	12.0%
(Missing)	14	8.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.2	2	1.3%
0.3	4	2.5%
0.35	5	3.2%
0.4	10	6.3%
0.45	9	5.7%
0.5	14	8.9%
0.55	16	10.1%
0.6	23	14.6%
0.65	12	7.6%
0.7	12	7.6%

Value	Count	Frequency (%)
1	3	1.9%
0.95	1	0.6%
0.9	4	2.5%
0.85	8	5.1%
0.8	6	3.8%
0.75	15	9.5%
0.7	12	7.6%
0.65	12	7.6%
0.6	23	14.6%
0.55	16	10.1%

openness
Real number (ℝ _≥0 )


         
          HIGH CORRELATION


         MISSING

Distinct	14
Distinct (%)	9.7%
Missing	14
Missing (%)	8.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.7587986111

Minimum	0.25
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0.25
5-th percentile	0.55
Q1	0.65
median	0.75
Q3	0.85
95-th percentile	1
Maximum	1
Range	0.75
Interquartile range (IQR)	0.2

Descriptive statistics

Standard deviation	0.1453243577
Coefficient of variation (CV)	0.1915190086
Kurtosis	-0.1467169661
Mean	0.7587986111
Median Absolute Deviation (MAD)	0.1
Skewness	-0.2243304974
Sum	109.267
Variance	0.02111916895
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0.65	18	11.4%
0.7	16	10.1%
0.85	16	10.1%
0.75	16	10.1%
0.8	15	9.5%
0.6	14	8.9%
0.95	14	8.9%
0.55	11	7.0%
1	10	6.3%
0.9	10	6.3%
Other values (4)	4	2.5%
(Missing)	14	8.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.25	1	0.6%
0.4	1	0.6%
0.5	1	0.6%
0.55	11	7.0%
0.6	14	8.9%
0.65	18	11.4%
0.7	16	10.1%
0.75	16	10.1%
0.8	15	9.5%
0.85	16	10.1%

Value	Count	Frequency (%)
1	10	6.3%
0.95	14	8.9%
0.9	10	6.3%
0.867	1	0.6%
0.85	16	10.1%
0.8	15	9.5%
0.75	16	10.1%
0.7	16	10.1%
0.65	18	11.4%
0.6	14	8.9%

c_food
Categorical


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	12
Missing (%)	7.6%
Memory size	1.4 KiB

0.75	50
0.5	37
1.0	32
0.25	19
0.0	8

Length

Max length	4
Median length	3
Mean length	3.47260274
Min length	3

Characters and Unicode

Total characters	507
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.25
2nd row	0.25
3rd row	0.25
4th row	0.0
5th row	0.75

Common Values

Value	Count	Frequency (%)
0.75	50	31.6%
0.5	37	23.4%
1.0	32	20.3%
0.25	19	12.0%
0.0	8	5.1%
(Missing)	12	7.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.75	50	34.2%
0.5	37	25.3%
1.0	32	21.9%
0.25	19	13.0%
0.0	8	5.5%

Most occurring characters

Value	Count	Frequency (%)
0	154	30.4%
.	146	28.8%
5	106	20.9%
7	50	9.9%
1	32	6.3%
2	19	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	361	71.2%
Other Punctuation	146	28.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	154	42.7%
5	106	29.4%
7	50	13.9%
1	32	8.9%
2	19	5.3%

Other Punctuation

Value	Count	Frequency (%)
.	146	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	507	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	154	30.4%
.	146	28.8%
5	106	20.9%
7	50	9.9%
1	32	6.3%
2	19	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	507	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	154	30.4%
.	146	28.8%
5	106	20.9%
7	50	9.9%
1	32	6.3%
2	19	3.7%

c_eating
Categorical


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	12
Missing (%)	7.6%
Memory size	1.4 KiB

0.75	51
0.5	45
0.25	25
1.0	15
0.0	10

Length

Max length	4
Median length	4
Mean length	3.520547945
Min length	3

Characters and Unicode

Total characters	514
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.5
2nd row	0.75
3rd row	0.25
4th row	0.0
5th row	0.5

Common Values

Value	Count	Frequency (%)
0.75	51	32.3%
0.5	45	28.5%
0.25	25	15.8%
1.0	15	9.5%
0.0	10	6.3%
(Missing)	12	7.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.75	51	34.9%
0.5	45	30.8%
0.25	25	17.1%
1.0	15	10.3%
0.0	10	6.8%

Most occurring characters

Value	Count	Frequency (%)
0	156	30.4%
.	146	28.4%
5	121	23.5%
7	51	9.9%
2	25	4.9%
1	15	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	368	71.6%
Other Punctuation	146	28.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	156	42.4%
5	121	32.9%
7	51	13.9%
2	25	6.8%
1	15	4.1%

Other Punctuation

Value	Count	Frequency (%)
.	146	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	514	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	156	30.4%
.	146	28.4%
5	121	23.5%
7	51	9.9%
2	25	4.9%
1	15	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	514	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	156	30.4%
.	146	28.4%
5	121	23.5%
7	51	9.9%
2	25	4.9%
1	15	2.9%

c_lit
Categorical


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	13
Missing (%)	8.2%
Memory size	1.4 KiB

0.5	53
0.75	40
0.25	24
1.0	24
0.0	4

Length

Max length	4
Median length	3
Mean length	3.44137931
Min length	3

Characters and Unicode

Total characters	499
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.25
2nd row	0.5
3rd row	0.25
4th row	1.0
5th row	0.5

Common Values

Value	Count	Frequency (%)
0.5	53	33.5%
0.75	40	25.3%
0.25	24	15.2%
1.0	24	15.2%
0.0	4	2.5%
(Missing)	13	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.5	53	36.6%
0.75	40	27.6%
0.25	24	16.6%
1.0	24	16.6%
0.0	4	2.8%

Most occurring characters

Value	Count	Frequency (%)
0	149	29.9%
.	145	29.1%
5	117	23.4%
7	40	8.0%
2	24	4.8%
1	24	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	354	70.9%
Other Punctuation	145	29.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	149	42.1%
5	117	33.1%
7	40	11.3%
2	24	6.8%
1	24	6.8%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	499	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	149	29.9%
.	145	29.1%
5	117	23.4%
7	40	8.0%
2	24	4.8%
1	24	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	499	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	149	29.9%
.	145	29.1%
5	117	23.4%
7	40	8.0%
2	24	4.8%
1	24	4.8%

c_creatlit
Categorical


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	13
Missing (%)	8.2%
Memory size	1.4 KiB

0.25	42
0.5	36
0.0	31
0.75	28
1.0	8

Length

Max length	4
Median length	3
Mean length	3.482758621
Min length	3

Characters and Unicode

Total characters	505
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.25
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.25	42	26.6%
0.5	36	22.8%
0.0	31	19.6%
0.75	28	17.7%
1.0	8	5.1%
(Missing)	13	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.25	42	29.0%
0.5	36	24.8%
0.0	31	21.4%
0.75	28	19.3%
1.0	8	5.5%

Most occurring characters

Value	Count	Frequency (%)
0	176	34.9%
.	145	28.7%
5	106	21.0%
2	42	8.3%
7	28	5.5%
1	8	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	360	71.3%
Other Punctuation	145	28.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	176	48.9%
5	106	29.4%
2	42	11.7%
7	28	7.8%
1	8	2.2%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	505	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	176	34.9%
.	145	28.7%
5	106	21.0%
2	42	8.3%
7	28	5.5%
1	8	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	505	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	176	34.9%
.	145	28.7%
5	106	21.0%
2	42	8.3%
7	28	5.5%
1	8	1.6%

c_perf_mus
Categorical


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.5%
Missing	14
Missing (%)	8.9%
Memory size	1.4 KiB

0.0	55
0.25	31
0.75	23
0.5	21
1.0	14

Length

Max length	4
Median length	3
Mean length	3.375
Min length	3

Characters and Unicode

Total characters	486
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.25
3rd row	0.0
4th row	0.0
5th row	0.75

Common Values

Value	Count	Frequency (%)
0.0	55	34.8%
0.25	31	19.6%
0.75	23	14.6%
0.5	21	13.3%
1.0	14	8.9%
(Missing)	14	8.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	55	38.2%
0.25	31	21.5%
0.75	23	16.0%
0.5	21	14.6%
1.0	14	9.7%

Most occurring characters

Value	Count	Frequency (%)
0	199	40.9%
.	144	29.6%
5	75	15.4%
2	31	6.4%
7	23	4.7%
1	14	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	342	70.4%
Other Punctuation	144	29.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	199	58.2%
5	75	21.9%
2	31	9.1%
7	23	6.7%
1	14	4.1%

Other Punctuation

Value	Count	Frequency (%)
.	144	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	486	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	199	40.9%
.	144	29.6%
5	75	15.4%
2	31	6.4%
7	23	4.7%
1	14	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	486	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	199	40.9%
.	144	29.6%
5	75	15.4%
2	31	6.4%
7	23	4.7%
1	14	2.9%

c_plays
Categorical


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.5%
Missing	14
Missing (%)	8.9%
Memory size	1.4 KiB

0.5	50
0.75	44
1.0	33
0.25	14
0.0	3

Length

Max length	4
Median length	3
Mean length	3.402777778
Min length	3

Characters and Unicode

Total characters	490
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.75
2nd row	0.5
3rd row	0.5
4th row	1.0
5th row	0.75

Common Values

Value	Count	Frequency (%)
0.5	50	31.6%
0.75	44	27.8%
1.0	33	20.9%
0.25	14	8.9%
0.0	3	1.9%
(Missing)	14	8.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.5	50	34.7%
0.75	44	30.6%
1.0	33	22.9%
0.25	14	9.7%
0.0	3	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	147	30.0%
.	144	29.4%
5	108	22.0%
7	44	9.0%
1	33	6.7%
2	14	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	346	70.6%
Other Punctuation	144	29.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	147	42.5%
5	108	31.2%
7	44	12.7%
1	33	9.5%
2	14	4.0%

Other Punctuation

Value	Count	Frequency (%)
.	144	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	490	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	147	30.0%
.	144	29.4%
5	108	22.0%
7	44	9.0%
1	33	6.7%
2	14	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	490	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	147	30.0%
.	144	29.4%
5	108	22.0%
7	44	9.0%
1	33	6.7%
2	14	2.9%

c_perf_plays
Categorical


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.5%
Missing	14
Missing (%)	8.9%
Memory size	1.4 KiB

0.0	49
0.25	43
0.5	25
0.75	20
1.0	7

Length

Max length	4
Median length	3
Mean length	3.4375
Min length	3

Characters and Unicode

Total characters	495
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.5
3rd row	0.0
4th row	1.0
5th row	0.25

Common Values

Value	Count	Frequency (%)
0.0	49	31.0%
0.25	43	27.2%
0.5	25	15.8%
0.75	20	12.7%
1.0	7	4.4%
(Missing)	14	8.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	49	34.0%
0.25	43	29.9%
0.5	25	17.4%
0.75	20	13.9%
1.0	7	4.9%

Most occurring characters

Value	Count	Frequency (%)
0	193	39.0%
.	144	29.1%
5	88	17.8%
2	43	8.7%
7	20	4.0%
1	7	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	351	70.9%
Other Punctuation	144	29.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	193	55.0%
5	88	25.1%
2	43	12.3%
7	20	5.7%
1	7	2.0%

Other Punctuation

Value	Count	Frequency (%)
.	144	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	495	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	193	39.0%
.	144	29.1%
5	88	17.8%
2	43	8.7%
7	20	4.0%
1	7	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	495	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	193	39.0%
.	144	29.1%
5	88	17.8%
2	43	8.7%
7	20	4.0%
1	7	1.4%

c_musgall
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	13
Missing (%)	8.2%
Memory size	1.4 KiB

0.5	45
0.25	34
0.75	30
1.0	18
0.0	18

Length

Max length	4
Median length	3
Mean length	3.44137931
Min length	3

Characters and Unicode

Total characters	499
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.5
2nd row	0.25
3rd row	0.25
4th row	1.0
5th row	0.25

Common Values

Value	Count	Frequency (%)
0.5	45	28.5%
0.25	34	21.5%
0.75	30	19.0%
1.0	18	11.4%
0.0	18	11.4%
(Missing)	13	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.5	45	31.0%
0.25	34	23.4%
0.75	30	20.7%
1.0	18	12.4%
0.0	18	12.4%

Most occurring characters

Value	Count	Frequency (%)
0	163	32.7%
.	145	29.1%
5	109	21.8%
2	34	6.8%
7	30	6.0%
1	18	3.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	354	70.9%
Other Punctuation	145	29.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	163	46.0%
5	109	30.8%
2	34	9.6%
7	30	8.5%
1	18	5.1%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	499	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	163	32.7%
.	145	29.1%
5	109	21.8%
2	34	6.8%
7	30	6.0%
1	18	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	499	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	163	32.7%
.	145	29.1%
5	109	21.8%
2	34	6.8%
7	30	6.0%
1	18	3.6%

c_perf_art
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	13
Missing (%)	8.2%
Memory size	1.4 KiB

0.0	38
0.25	33
0.75	30
0.5	23
1.0	21

Length

Max length	4
Median length	3
Mean length	3.434482759
Min length	3

Characters and Unicode

Total characters	498
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.25
2nd row	0.25
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	38	24.1%
0.25	33	20.9%
0.75	30	19.0%
0.5	23	14.6%
1.0	21	13.3%
(Missing)	13	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	38	26.2%
0.25	33	22.8%
0.75	30	20.7%
0.5	23	15.9%
1.0	21	14.5%

Most occurring characters

Value	Count	Frequency (%)
0	183	36.7%
.	145	29.1%
5	86	17.3%
2	33	6.6%
7	30	6.0%
1	21	4.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	353	70.9%
Other Punctuation	145	29.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	183	51.8%
5	86	24.4%
2	33	9.3%
7	30	8.5%
1	21	5.9%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	498	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	183	36.7%
.	145	29.1%
5	86	17.3%
2	33	6.6%
7	30	6.0%
1	21	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	498	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	183	36.7%
.	145	29.1%
5	86	17.3%
2	33	6.6%
7	30	6.0%
1	21	4.2%

c_watch_sp
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.5%
Missing	14
Missing (%)	8.9%
Memory size	1.4 KiB

0.0	52
0.25	39
0.5	23
0.75	17
1.0	13

Length

Max length	4
Median length	3
Mean length	3.388888889
Min length	3

Characters and Unicode

Total characters	488
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.25
2nd row	0.75
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	52	32.9%
0.25	39	24.7%
0.5	23	14.6%
0.75	17	10.8%
1.0	13	8.2%
(Missing)	14	8.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	52	36.1%
0.25	39	27.1%
0.5	23	16.0%
0.75	17	11.8%
1.0	13	9.0%

Most occurring characters

Value	Count	Frequency (%)
0	196	40.2%
.	144	29.5%
5	79	16.2%
2	39	8.0%
7	17	3.5%
1	13	2.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	344	70.5%
Other Punctuation	144	29.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	196	57.0%
5	79	23.0%
2	39	11.3%
7	17	4.9%
1	13	3.8%

Other Punctuation

Value	Count	Frequency (%)
.	144	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	488	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	196	40.2%
.	144	29.5%
5	79	16.2%
2	39	8.0%
7	17	3.5%
1	13	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	488	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	196	40.2%
.	144	29.5%
5	79	16.2%
2	39	8.0%
7	17	3.5%
1	13	2.7%

c_ind_sp
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	13
Missing (%)	8.2%
Memory size	1.4 KiB

0.25	40
0.5	36
0.0	33
1.0	18
0.75	18

Length

Max length	4
Median length	3
Mean length	3.4
Min length	3

Characters and Unicode

Total characters	493
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.5
3rd row	0.5
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.25	40	25.3%
0.5	36	22.8%
0.0	33	20.9%
1.0	18	11.4%
0.75	18	11.4%
(Missing)	13	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.25	40	27.6%
0.5	36	24.8%
0.0	33	22.8%
1.0	18	12.4%
0.75	18	12.4%

Most occurring characters

Value	Count	Frequency (%)
0	178	36.1%
.	145	29.4%
5	94	19.1%
2	40	8.1%
1	18	3.7%
7	18	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	348	70.6%
Other Punctuation	145	29.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	178	51.1%
5	94	27.0%
2	40	11.5%
1	18	5.2%
7	18	5.2%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	493	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	178	36.1%
.	145	29.4%
5	94	19.1%
2	40	8.1%
1	18	3.7%
7	18	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	493	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	178	36.1%
.	145	29.4%
5	94	19.1%
2	40	8.1%
1	18	3.7%
7	18	3.7%

c_team_sp
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.5%
Missing	14
Missing (%)	8.9%
Memory size	1.4 KiB

0.0	45
0.5	32
0.25	31
1.0	19
0.75	17

Length

Max length	4
Median length	3
Mean length	3.333333333
Min length	3

Characters and Unicode

Total characters	480
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.75
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	45	28.5%
0.5	32	20.3%
0.25	31	19.6%
1.0	19	12.0%
0.75	17	10.8%
(Missing)	14	8.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	45	31.2%
0.5	32	22.2%
0.25	31	21.5%
1.0	19	13.2%
0.75	17	11.8%

Most occurring characters

Value	Count	Frequency (%)
0	189	39.4%
.	144	30.0%
5	80	16.7%
2	31	6.5%
1	19	4.0%
7	17	3.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	336	70.0%
Other Punctuation	144	30.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	189	56.2%
5	80	23.8%
2	31	9.2%
1	19	5.7%
7	17	5.1%

Other Punctuation

Value	Count	Frequency (%)
.	144	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	480	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	189	39.4%
.	144	30.0%
5	80	16.7%
2	31	6.5%
1	19	4.0%
7	17	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	480	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	189	39.4%
.	144	30.0%
5	80	16.7%
2	31	6.5%
1	19	4.0%
7	17	3.5%

c_accom
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	13
Missing (%)	8.2%
Memory size	1.4 KiB

0.5	40
0.75	36
0.25	31
0.0	21
1.0	17

Length

Max length	4
Median length	3
Mean length	3.462068966
Min length	3

Characters and Unicode

Total characters	502
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.5
2nd row	0.25
3rd row	0.0
4th row	0.0
5th row	0.25

Common Values

Value	Count	Frequency (%)
0.5	40	25.3%
0.75	36	22.8%
0.25	31	19.6%
0.0	21	13.3%
1.0	17	10.8%
(Missing)	13	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.5	40	27.6%
0.75	36	24.8%
0.25	31	21.4%
0.0	21	14.5%
1.0	17	11.7%

Most occurring characters

Value	Count	Frequency (%)
0	166	33.1%
.	145	28.9%
5	107	21.3%
7	36	7.2%
2	31	6.2%
1	17	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	357	71.1%
Other Punctuation	145	28.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	166	46.5%
5	107	30.0%
7	36	10.1%
2	31	8.7%
1	17	4.8%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	502	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	166	33.1%
.	145	28.9%
5	107	21.3%
7	36	7.2%
2	31	6.2%
1	17	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	502	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	166	33.1%
.	145	28.9%
5	107	21.3%
7	36	7.2%
2	31	6.2%
1	17	3.4%

c_locfac
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	13
Missing (%)	8.2%
Memory size	1.4 KiB

0.75	45
0.5	43
1.0	29
0.25	19
0.0	9

Length

Max length	4
Median length	3
Mean length	3.44137931
Min length	3

Characters and Unicode

Total characters	499
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.5
2nd row	0.5
3rd row	0.25
4th row	1.0
5th row	0.75

Common Values

Value	Count	Frequency (%)
0.75	45	28.5%
0.5	43	27.2%
1.0	29	18.4%
0.25	19	12.0%
0.0	9	5.7%
(Missing)	13	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.75	45	31.0%
0.5	43	29.7%
1.0	29	20.0%
0.25	19	13.1%
0.0	9	6.2%

Most occurring characters

Value	Count	Frequency (%)
0	154	30.9%
.	145	29.1%
5	107	21.4%
7	45	9.0%
1	29	5.8%
2	19	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	354	70.9%
Other Punctuation	145	29.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	154	43.5%
5	107	30.2%
7	45	12.7%
1	29	8.2%
2	19	5.4%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	499	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	154	30.9%
.	145	29.1%
5	107	21.4%
7	45	9.0%
1	29	5.8%
2	19	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	499	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	154	30.9%
.	145	29.1%
5	107	21.4%
7	45	9.0%
1	29	5.8%
2	19	3.8%

u_active
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	13
Missing (%)	8.2%
Memory size	1.4 KiB

0.75	48
0.5	47
1.0	32
0.25	15
0.0	3

Length

Max length	4
Median length	3
Mean length	3.434482759
Min length	3

Characters and Unicode

Total characters	498
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.5
2nd row	0.5
3rd row	0.25
4th row	0.0
5th row	0.5

Common Values

Value	Count	Frequency (%)
0.75	48	30.4%
0.5	47	29.7%
1.0	32	20.3%
0.25	15	9.5%
0.0	3	1.9%
(Missing)	13	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.75	48	33.1%
0.5	47	32.4%
1.0	32	22.1%
0.25	15	10.3%
0.0	3	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	148	29.7%
.	145	29.1%
5	110	22.1%
7	48	9.6%
1	32	6.4%
2	15	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	353	70.9%
Other Punctuation	145	29.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	148	41.9%
5	110	31.2%
7	48	13.6%
1	32	9.1%
2	15	4.2%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	498	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	148	29.7%
.	145	29.1%
5	110	22.1%
7	48	9.6%
1	32	6.4%
2	15	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	498	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	148	29.7%
.	145	29.1%
5	110	22.1%
7	48	9.6%
1	32	6.4%
2	15	3.0%

u_read
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	13
Missing (%)	8.2%
Memory size	1.4 KiB

0.75	51
0.5	37
0.25	25
1.0	23
0.0	9

Length

Max length	4
Median length	4
Mean length	3.524137931
Min length	3

Characters and Unicode

Total characters	511
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.75
2nd row	0.25
3rd row	0.0
4th row	0.0
5th row	0.5

Common Values

Value	Count	Frequency (%)
0.75	51	32.3%
0.5	37	23.4%
0.25	25	15.8%
1.0	23	14.6%
0.0	9	5.7%
(Missing)	13	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.75	51	35.2%
0.5	37	25.5%
0.25	25	17.2%
1.0	23	15.9%
0.0	9	6.2%

Most occurring characters

Value	Count	Frequency (%)
0	154	30.1%
.	145	28.4%
5	113	22.1%
7	51	10.0%
2	25	4.9%
1	23	4.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	366	71.6%
Other Punctuation	145	28.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	154	42.1%
5	113	30.9%
7	51	13.9%
2	25	6.8%
1	23	6.3%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	511	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	154	30.1%
.	145	28.4%
5	113	22.1%
7	51	10.0%
2	25	4.9%
1	23	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	511	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	154	30.1%
.	145	28.4%
5	113	22.1%
7	51	10.0%
2	25	4.9%
1	23	4.5%

u_essay
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	13
Missing (%)	8.2%
Memory size	1.4 KiB

0.5	43
0.25	34
0.75	33
0.0	19
1.0	16

Length

Max length	4
Median length	3
Mean length	3.462068966
Min length	3

Characters and Unicode

Total characters	502
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.25
2nd row	0.25
3rd row	0.0
4th row	0.0
5th row	0.25

Common Values

Value	Count	Frequency (%)
0.5	43	27.2%
0.25	34	21.5%
0.75	33	20.9%
0.0	19	12.0%
1.0	16	10.1%
(Missing)	13	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.5	43	29.7%
0.25	34	23.4%
0.75	33	22.8%
0.0	19	13.1%
1.0	16	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	164	32.7%
.	145	28.9%
5	110	21.9%
2	34	6.8%
7	33	6.6%
1	16	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	357	71.1%
Other Punctuation	145	28.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	164	45.9%
5	110	30.8%
2	34	9.5%
7	33	9.2%
1	16	4.5%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	502	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	164	32.7%
.	145	28.9%
5	110	21.9%
2	34	6.8%
7	33	6.6%
1	16	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	502	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	164	32.7%
.	145	28.9%
5	110	21.9%
2	34	6.8%
7	33	6.6%
1	16	3.2%

u_org
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	13
Missing (%)	8.2%
Memory size	1.4 KiB

0.5	43
0.75	40
1.0	30
0.25	24
0.0	8

Length

Max length	4
Median length	3
Mean length	3.44137931
Min length	3

Characters and Unicode

Total characters	499
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.25
2nd row	0.25
3rd row	0.0
4th row	0.0
5th row	0.25

Common Values

Value	Count	Frequency (%)
0.5	43	27.2%
0.75	40	25.3%
1.0	30	19.0%
0.25	24	15.2%
0.0	8	5.1%
(Missing)	13	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.5	43	29.7%
0.75	40	27.6%
1.0	30	20.7%
0.25	24	16.6%
0.0	8	5.5%

Most occurring characters

Value	Count	Frequency (%)
0	153	30.7%
.	145	29.1%
5	107	21.4%
7	40	8.0%
1	30	6.0%
2	24	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	354	70.9%
Other Punctuation	145	29.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	153	43.2%
5	107	30.2%
7	40	11.3%
1	30	8.5%
2	24	6.8%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	499	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	153	30.7%
.	145	29.1%
5	107	21.4%
7	40	8.0%
1	30	6.0%
2	24	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	499	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	153	30.7%
.	145	29.1%
5	107	21.4%
7	40	8.0%
1	30	6.0%
2	24	4.8%

u_balance
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.5%
Missing	14
Missing (%)	8.9%
Memory size	1.4 KiB

0.75	44
0.5	42
1.0	29
0.25	22
0.0	7

Length

Max length	4
Median length	3
Mean length	3.458333333
Min length	3

Characters and Unicode

Total characters	498
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.25
2nd row	0.5
3rd row	0.0
4th row	0.0
5th row	0.75

Common Values

Value	Count	Frequency (%)
0.75	44	27.8%
0.5	42	26.6%
1.0	29	18.4%
0.25	22	13.9%
0.0	7	4.4%
(Missing)	14	8.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.75	44	30.6%
0.5	42	29.2%
1.0	29	20.1%
0.25	22	15.3%
0.0	7	4.9%

Most occurring characters

Value	Count	Frequency (%)
0	151	30.3%
.	144	28.9%
5	108	21.7%
7	44	8.8%
1	29	5.8%
2	22	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	354	71.1%
Other Punctuation	144	28.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	151	42.7%
5	108	30.5%
7	44	12.4%
1	29	8.2%
2	22	6.2%

Other Punctuation

Value	Count	Frequency (%)
.	144	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	498	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	151	30.3%
.	144	28.9%
5	108	21.7%
7	44	8.8%
1	29	5.8%
2	22	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	498	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	151	30.3%
.	144	28.9%
5	108	21.7%
7	44	8.8%
1	29	5.8%
2	22	4.4%

u_assess
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	13
Missing (%)	8.2%
Memory size	1.4 KiB

0.5	47
0.75	47
0.25	28
1.0	17
0.0	6

Length

Max length	4
Median length	4
Mean length	3.517241379
Min length	3

Characters and Unicode

Total characters	510
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.25
2nd row	0.5
3rd row	0.0
4th row	0.0
5th row	0.5

Common Values

Value	Count	Frequency (%)
0.5	47	29.7%
0.75	47	29.7%
0.25	28	17.7%
1.0	17	10.8%
0.0	6	3.8%
(Missing)	13	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.5	47	32.4%
0.75	47	32.4%
0.25	28	19.3%
1.0	17	11.7%
0.0	6	4.1%

Most occurring characters

Value	Count	Frequency (%)
0	151	29.6%
.	145	28.4%
5	122	23.9%
7	47	9.2%
2	28	5.5%
1	17	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	365	71.6%
Other Punctuation	145	28.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	151	41.4%
5	122	33.4%
7	47	12.9%
2	28	7.7%
1	17	4.7%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	510	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	151	29.6%
.	145	28.4%
5	122	23.9%
7	47	9.2%
2	28	5.5%
1	17	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	510	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	151	29.6%
.	145	28.4%
5	122	23.9%
7	47	9.2%
2	28	5.5%
1	17	3.3%

u_theory
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	13
Missing (%)	8.2%
Memory size	1.4 KiB

0.5	66
0.75	27
1.0	26
0.25	19
0.0	7

Length

Max length	4
Median length	3
Mean length	3.317241379
Min length	3

Characters and Unicode

Total characters	481
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.25
2nd row	0.5
3rd row	0.0
4th row	0.0
5th row	0.5

Common Values

Value	Count	Frequency (%)
0.5	66	41.8%
0.75	27	17.1%
1.0	26	16.5%
0.25	19	12.0%
0.0	7	4.4%
(Missing)	13	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.5	66	45.5%
0.75	27	18.6%
1.0	26	17.9%
0.25	19	13.1%
0.0	7	4.8%

Most occurring characters

Value	Count	Frequency (%)
0	152	31.6%
.	145	30.1%
5	112	23.3%
7	27	5.6%
1	26	5.4%
2	19	4.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	336	69.9%
Other Punctuation	145	30.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	152	45.2%
5	112	33.3%
7	27	8.0%
1	26	7.7%
2	19	5.7%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	481	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	152	31.6%
.	145	30.1%
5	112	23.3%
7	27	5.6%
1	26	5.4%
2	19	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	481	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	152	31.6%
.	145	30.1%
5	112	23.3%
7	27	5.6%
1	26	5.4%
2	19	4.0%

u_pract
Categorical


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         
          HIGH CORRELATION


         MISSING

Distinct	5
Distinct (%)	3.4%
Missing	13
Missing (%)	8.2%
Memory size	1.4 KiB

0.5	44
0.75	38
1.0	37
0.25	22
0.0	4

Length

Max length	4
Median length	3
Mean length	3.413793103
Min length	3

Characters and Unicode

Total characters	495
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.5
2nd row	0.5
3rd row	0.0
4th row	0.0
5th row	0.75

Common Values

Value	Count	Frequency (%)
0.5	44	27.8%
0.75	38	24.1%
1.0	37	23.4%
0.25	22	13.9%
0.0	4	2.5%
(Missing)	13	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.5	44	30.3%
0.75	38	26.2%
1.0	37	25.5%
0.25	22	15.2%
0.0	4	2.8%

Most occurring characters

Value	Count	Frequency (%)
0	149	30.1%
.	145	29.3%
5	104	21.0%
7	38	7.7%
1	37	7.5%
2	22	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	350	70.7%
Other Punctuation	145	29.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	149	42.6%
5	104	29.7%
7	38	10.9%
1	37	10.6%
2	22	6.3%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	495	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	149	30.1%
.	145	29.3%
5	104	21.0%
7	38	7.7%
1	37	7.5%
2	22	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	495	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	149	30.1%
.	145	29.3%
5	104	21.0%
7	38	7.7%
1	37	7.5%
2	22	4.4%

Spearman's ρ

The Spearman's rank correlation coefficient ( ρ ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r . It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y , one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient ( r ) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r .

To calculate r for two variables X and Y , one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient ( τ ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y , one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here .

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here .

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII